InfoQ Homepage Performance Content on InfoQ
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1.5 Million Log Lines Per Second: Building and Maintaining Flume Flows at Conversant
Mike Keane presents how Conversant migrated to Flume, managing 1000 agents across 4 data centers, processing over 50B log lines per day with peak hourly averages of over 1.5 million log lines/sec.
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Caching and Messaging Improvements in Spring Framework 4.1
Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.
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Faster Object Arrays
Gil Tene introduces org.ObjectLayout and StructuredArray, the APIs and design considerations that allow Java JDKs to match C on data structure access speeds.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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High Throughput Stream Processing with ACID Guarantees
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
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TypeScript - Scaling up JavaScript
Jonathan Turner covers the challenges with growing and maintaining large JavaScript applications and how TypeScript addresses them.
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Tuning Large Scale Java Platforms
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
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Spike Lean Visual Design Directly into Your Live Style Guide
Ward Penney discusses a few tools, benefits and war stories surrounding Live Style Guides.
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Structure, Personalization, Scale: A Deep Dive into LinkedIn Search
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
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Solidifying the Cloud: How Google Backs up the Internet
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
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Optimizing Mobile Performance with Real User Monitoring
Brittany Young discusses a framework for identifying the performance metrics that matter most to users, looking at improving the development life cycle by knowing common mobile performance blind spots
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My Mobile App Only Works on My Phone? How to Scale Enterprise Mobile Apps
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
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